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Beavers, J E, Moore, J R and Schriver, W R (2009) Steel Erection Fatalities in the Construction Industry. Journal of Construction Engineering and Management, 135(03), 227–34.

Blacud, N A, Bogus, S M, Diekmann, J E and Molenaar, K R (2009) Sensitivity of Construction Activities under Design Uncertainty. Journal of Construction Engineering and Management, 135(03), 199–206.

Chan, E H and Au, M C (2009) Factors Influencing Building Contractors’ Pricing for Time-Related Risks in Tenders. Journal of Construction Engineering and Management, 135(03), 135–45.

Chao, L and Chien, C (2009) Estimating Project S-Curves Using Polynomial Function and Neural Networks. Journal of Construction Engineering and Management, 135(03), 169–77.

Chung, B, Skibniewski, M J and Kwak, Y H (2009) Developing ERP Systems Success Model for the Construction Industry. Journal of Construction Engineering and Management, 135(03), 207–16.

Dai, J, Goodrum, P M and Maloney, W F (2009) Construction Craft Workers’ Perceptions of the Factors Affecting Their Productivity. Journal of Construction Engineering and Management, 135(03), 217–26.

  • Type: Journal Article
  • Keywords: Productivity; Labor; Construction sites; Construction management; Statistics;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2009)135:3(217)
  • Abstract:
    In efforts to quantify craft workers’ perspective of construction productivity, a nationwide survey involving 1,996 craft workers was employed. The survey quantified the relative impact of 83 productivity factors, which had been identified through a series of focus group sessions involving craft workers conducted on construction jobsites located throughout the United States. The findings show that craft workers do have a good understanding of the factors affecting their daily productivity, and most of the adversarial factors affecting productivity can be addressed by site management teams. Factors involving tools and consumables, materials, engineering drawing management and construction equipment were identified as having the greatest impact on productivity from the craft workers’ perspective. A statistical comparative analysis was employed to distinguish the significant factors encountered by craft workers on projects with relatively low perceived productivity. The research further examined the differences in the perceived relative magnitude of productivity factors’ influence on construction productivity based on respondents’ union status and trade. These findings will be beneficial for engaging craft workers in productivity improvement and improving the efficiency of construction jobsites.

Hwang, B, Thomas, S R, Haas, C T and Caldas, C H (2009) Measuring the Impact of Rework on Construction Cost Performance. Journal of Construction Engineering and Management, 135(03), 187–98.

Kim, B and Reinschmidt, K F (2009) Probabilistic Forecasting of Project Duration Using Bayesian Inference and the Beta Distribution. Journal of Construction Engineering and Management, 135(03), 178–86.

Menassa, C C, Mora, F P and Pearson, N (2009) Option Pricing Model to Analyze Cost–Benefit Trade-Offs of ADR Investments in AEC Projects. Journal of Construction Engineering and Management, 135(03), 156–68.

Sharma, H, McIntyre, C, Gao, Z and Nguyen, T (2009) Developing a Traffic Closure Integrated Linear Schedule for Highway Rehabilitation Projects. Journal of Construction Engineering and Management, 135(03), 146–55.